@article{test,
	title = {Creation, cannulation and survival of arteriovenous fistulae: data from the Dialysis Outcomes and Practice Patterns Study},
	volume = {63},
	issn = {0085-2538},
	shorttitle = {Creation, cannulation and survival of arteriovenous fistulae},
	url = {http://www.ncbi.nlm.nih.gov/pubmed/12472799},
	doi = {10.1046/j.1523-1755.2003.00724.x},
	number = {1},
	journal = {Kidney International},
	author = {Rayner, Hugh C and Pisoni, Ronald L and Gillespie, Brenda W and Goodkin, David A and Akiba, Takashi and Akizawa, Tadao and Saito, Akira and Young, Eric W and Port, Friedrich K},
	month = jan,
	year = {2003},
	note = {{PMID:} 12472799},
	keywords = {Adolescent, Adult, Anastomosis, Surgical, Catheterization, Humans, {KIDNEY} {FAILURE}, {CHRONIC}, Outcome Assessment {(Health} Care), Physician's Practice Patterns, Prospective Studies, Random Allocation, {RENAL} {DIALYSIS}, Risk Factors, Time Factors, Treatment Outcome},
	pages = {323--330}
}

@misc{NIH,
author = {National Institutes of Health},
title = {Chronic Kidney Disease and Kidney Failure},
note ={Accessed January, 2012},
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	abstract = {In this paper, we are concerned with preservation properties of first and second order by an operator L representable in terms of a stochastic process Z with non-decreasing right-continuous paths. We introduce the derived operator D of L and the derived process V of Z in order to characterize the preservation of absolute continuity and convexity. To obtain different characterizations of the preservation of convexity, we introduce two kinds of duality, the first referring to the process Z and the second to the derived process V. We illustrate the preceding results by considering some examples of interest both in probability and in approximation theory -- namely, mixtures, centred subordinators, Bernstein polynomials and beta operators. In most of them, we find bidensities to describe the duality between the derived processes. A unified approach based on stochastic orders is given.},
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	note = {{ArticleType:} research-article / Full publication date: Jun., 1999 / Copyright © 1999 Applied Probability Trust},
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}
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